| Objective Acute ischemic stroke is the most common disease and frequently occurring disease in neurology,this study will explore the red cell distribution width and the ratio of platelet count(RPR)for predicting the risk of acute ischemic stroke and severity.Method Patients with AIS admitted to hospital were selected for this study,The control group selected patients with simultaneous onset of tension headache or peripheral vertigo;we collected the laboratory assay and clinical information.A complete blood count analysis was performed using the peripheral venous blood samples.Peripheral venous blood samples for biochemical tests were collected on the morning(between 6:00 and 7:00 AM)of the second day after admission with an overnight fast.We also collected basic demographic parameters,clinical data,and high risk factors for vascular diseases such as hypertension and diabetes,smoking and alcohol consumption.At the same time,we also collected a collection of acute ischemic stroke TOAST type data and after admission to the National Institute of Health Stroke Scale(National Institutes of Health Stroke Scale,NIHSS)were divided into mild group according to the score(<8 points)and severe(8minute)group.All patients were admitted to the hospital at 24-72 h and underwent magnetic resonance imaging.SPSS19.0 statistical software was used to analyze the experimental data.Clinical characteristics of subjects were analyzed using descriptive statistic tests.Continuous variables that followed normal distribution were expressed as mean ± standard deviation;Differences for variables between groups were assessed by the t test.Differences in categorical variable distribution between groups were assessed by the x2 test.We further calculated the poor outcome risk factors of acute ischemic stroke with binary logistic regression model.The optimal cut-off value key parameter(RPR)was calculated by applying a receiver operating curve analysis,the meanwhile sensitivity,specificity and positive likelihood ratio(+LR),negative likelihood ratio(-LR)of the key parameter were also calculated.Results In this study,a total of 229 AIS patients were recruited into the group,and the controls selected patients with simultaneous onset of tension headache or peripheral vertigo.RPR was calculated by peripheral blood routine examination at admission and clinical data were collected at the same time.The case group RPR was significantly higher than that of the control group(p<0.01),the measured r value was 0.834,which was significantly related to the incidence of acute ischemic stroke.Multivariate logistic regression analysis showed that RPR[odds ratio(odds,ratio,OR)8.326,95% confidence interval(confidence,interval,CIs)1.926 to 35.989;P<0.01] was an independent risk factor of acute ischemic stroke.ROC curve analysis showed that the RPR predictive of acute ischemic stroke was 0.066,ROC area under the curve is 0.870(95%CI0.832 ~ 0.907),the sensitivity was 75.98% specificity was 88.97% the positive likelihood ratio was 6.89,negative likelihood ratio was 0.27.In the subgroup of patients with severe RPR were significantly higher than that of mild subgroups of stroke in patients with [0.078 ± 0.004 to0.069 ± 0.008,t=-23.56,P= 0.001],With a RPR cutoff value of 0.066 for the sector,which accounted for mild stroke 44.78%,severe accounted for 62.96% p<0.01,which was statistically significant,has a first relationship between RPR and acute ischemic stroke severity has some predictive value.Conclusion RPR in patients with acute ischemic stroke is significantly higher.RPR can be used as an independent risk factor for acute ischemic stroke,and has a certain predictive value for the incidence and severity of acute ischemic stroke. |